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Research Detail

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Mohammed Shafiuzzaman
Department of Agricultural Extension, Ministry of Agriculture, Government of the People’s Republic of Bangladesh

Md. Najrul Islam
Department of Agronomy, Bangladesh Agricultural University (BAU), Mymensingh-2202, Bangladesh

Nizamul Haque Patwary
Department of Agricultural Extension, Ministry of Agriculture, Government of the People’s Republic of Bangladesh

Saida Akter Porag
Department of Agricultural Extension, Ministry of Agriculture, Government of the People’s Republic of Bangladesh

Labony Yeasmin
Dhaka Cantonment Public Girls School & College, Dhaka, Bangladesh

A study was carried out with 20 spring wheat genotypes of diverse origin to obtain information on genetic variability, heritability, genetic advance, relationship between yield and yield contributing characters, selection indices and their relative efficiencies in improvement of grain yield. In addition index score based on important yield attributes were estimated for all genotypes along with their phenotypic rank scores. There were significant variations for all the characters suggesting the presence of genetic variability among the genotypes. Considering yield plant-1 the genotype Mayoor was the best and that was followed by HT-11, Sourav, and Kav-2. It has also higher number of grains spike-1 and harvest index. KAV-2 ranked high for spikes plant-1, spikelets spike-1 grains spike-1 and harvest index. Sourav ranked high for spike length, spikelets spike-1, 100 - grain weight and harvest index. The genotype HT-11 had high mean performance for grains spike-1 and harvest index. The differences between genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were small for plant height, spike length, spikelets spike-1 and 100 grain weight indicating these characters are less affected by environment and mostly governed by genetic factors. Among the eight studied characters plant height, spike length, and 100- grain weight, displayed high heritability coupled with high genetic advance and spikes plant-1 and harvest index showed moderate heritability with high genetic advance. These characters had also high phenotypic coefficients of variation. So, selection of spring wheat genotypes based on these characters would be effective. Positive correlation found for grain yield plant-1 with spike length, grains spike, 100-grain weight and harvest index. Among them harvest index was significantly correlated with grain yield plant-1 at phenotypic level suggesting that genotypes with high partitioning efficiency gave increase in grain yield plant-1. Spikes plant-1 and harvest index had high positive direct effects on grain yield. The phenotypic correlation of harvest index with grain yield plant-1 is also high. The correlation coefficient of spikes plant-1 with grain yield plant-1 was low though their direct effects were high. Study of selection indices through discriminant function suggests that plant height + grains spike-1 + grain yield plant-1 had the maximum genetic advance and relative efficiency than grain yield alone. Considering both phenotypic rank value and index score the genotypes, HT-11, Ning, Protiva and Mayoor were the superior among the genotypes under studied and suggest that these four genotypes could be used as parents for hybridization programme for wheat improvement.

  Heritability, Selection index, Spring wheat
  At the field laboratory of the Department of Genetics and Plant Breeding, Bangladesh Agricultural University (BAU), Mymensingh
  
  
  Variety and Species
  Wheat

The present studies were undertaken to evaluate the performance of some wheat varieties regarding variability for yield and different yield contributing character characters, and also to study of heritability and genetic advance of grain yield and other yield contributing characters.

Experimental site: The experiment was conducted at the field laboratory of the Department of Genetics and Plant Breeding, Bangladesh Agricultural University (BAU), Mymensingh under irrigated condition. The experiment was carried out in the land which was medium high belonging to the old Brahmaputra floodplain, Agro-Ecological Zone (AEZ-9) having non calcareous dark gray soil (UNDP and FAO, 1998). The soil was sandy loam with pH value of 6.5. The climate of the experimental location during the wheat crop season is characterized by a relatively low rainfall and temperature from December to March.

Plant materials The materials of this study were consisted of 20 genotypes of spring wheat. They were collected from Wheat germplasm collection in the Department of Genetics and Plant Breeding, BAU, Mymensingh.

Cultivation procedure The experimental plot was thoroughly prepared by ploughing with power tiller followed by harrowing and laddering. After laddering the weeds and the stubbles of previous crops were removed from the land. Recommended doses of urea, tripple super phosphate, muriate of potash, gypsum and cowdung were applied at 200, 150, 80, 50 and 10000 kg ha-1, respectively. Half the amounts of urea, full amount of triple superphosphate, muriate of potash, gypsum and cowdung were applied to the soil at the time of final land preparation. The rest of the urea was top dressed in two equal splits one at tillering and other at booting stages. The experiment was set up in a randomized complete block design with three replications. The plot size was 2 m - 2.5 m. The distance between two plots was 50 cm and the distance between two blocks was 100 cm. The spacing between row to row and plant to plant in the same row were 20 cm and 5 cm, respectively. The seeds of 20 wheat genotypes were sown in the field following line sowing. Intercultural practices were done uniformly for all genotypes. Thinning was done 25 days after sowing. Weeding was done when become necessary. The crop was irrigated two times one at the crown root initiation stage and the other at the peak tillering stage. Ten plants from each plot were randomly selected to collect the data and they were harvested by uprooting. Border plants were discarded to avoid border effects. Data were collected from 10 randomly selected plants for measuring the growth, yield and yield contributing characters of wheat genotypes.

Statistical Analysis: All the collected data were statistically analyzed. Mean values for each character were used for statistical analysis. Analysis of variance was done for all the characters under study using the mean values (Singh and Chaudhury, 1985). The total variability was partitioned into treatments (genotypes), blocks (replications) and error components. When the F-ratio was significant, the differences between mean values were tested by Duncan's Multiple Range Test (DMRT) Steel and Torrie (1960). Genotypic and phenotypic variances, coefficients of variation, heritability, and genetic advance were estimated according to the formula given by Johnson et al, (1955). Moreover, genetic advance in percent of mean was calculated by the following formula proposed by Comstock and Robinson (1952), genotypic and phenotypic covariances were calculated using the formula suggested by Singh and Chaudhary (1985), genotypic and phenotypic correlation coefficients were estimated using the following formula suggested by Johnson et al. (1955) and Singh and Chaudhury (1985).

The components of correlation coefficients of different yield contributing characters with yield were partitioned into components of direct and indirect effects by path coefficient analysis. Path coefficient analysis was done according to the procedure stated by Singh and Chaudhury (1985) and Dabholkar (1992) which was originally suggested by Wright (1921). In the present study, grain yield plant-1 was considered as the resultant character (effect) and the seven yield contributing characters were considered as the causal factors. After calculating the direct and indirect effects of the characters, residual effect (R) was calculated using the following formula suggested by Singh and Choudhury (1985). Selection indices were constructed using the methods developed by Smith (1936) based on the discriminant function as proposed by Fisher (1936). The expected genetic advance (GA) through selection was calculated by formula.

  2015 © International Journal of Applied Research 1 (1): 40-47
  
Funding Source:
1.   Budget:  
  

Considering yield plant-1 the genotype Mayoor was the best and that was followed by HT-11, Sourav, and Kav-2. Among these genotypes Mayoor also ranked high for number of grains spike-1 and harvest index. KAV-2 ranked high for spikes plant-1 , spikelets spike-1 grains spike-1 and harvest index. Sourav ranked high for spike length, spikelets spike-1, 100-grain weight and harvest index. The genotype HT-11 had high mean performance for grains spike-1 and harvest index. The variations among the genotypes were studied through GCV and PCV. The differences between genotypic and phenotypic coefficients of variation were small for plant height, spike length, spikelets spike-1 and 100-grain weight indicating these characters are less affected by environment and mostly governed by genetic factors. Among the eight characters plant height, spike length, and 100-grain weight, displayed high heritability coupled with high genetic advance and spikes plant-1 and harvest index showed moderate heritability with high genetic advance. These characters had also high phenotypic coefficients of variation. So, selection of spring wheat genotypes based on these characters would be effective. Positive correlation found for grain yield plant-1 with spike length, grains spike, 100-grain weight and harvest index. Among them harvest index was significantly correlated with grain yield plant-1 at phenotypic level suggesting that genotypes with high partitioning efficiency gave increase in grain yield plant-1. Spikes plant-1 and harvest index had high positive direct effects on grain yield. The phenotypic correlation of harvest index with grain yield plant-1 also high. Such high correlation with grain yield plant-1 was mainly due to the high positive direct effect of harvest index and considerable positive indirect effects via, plant height, grains spike-1 and 100-grain weight. The correlation coefficient of spikes plant-1 with grain yield plant-1 was low though their direct effects were high. Study of selection indices through discriminant function suggests that plant height + grains spike-1 + grain yield plant-1 had the maximum genetic advance and relative efficiency than grain yield alone. Considering both phenotypic rank value and index score the genotypes, HT-11, Ning, Protiva and Mayoor were the superior among the genotypes under studied and suggest that these four genotypes could be used as parents for hybridization programme for wheat improvement.

  Journal
  


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